By David H. Bailey,Robert F. Lucas,Samuel Williams
With contributions from one of the most outstanding specialists within the box, Performance Tuning of clinical Applications provides present learn in functionality research. The booklet specializes in the next areas.
Performance monitoring: Describes the cutting-edge in and software program instruments which are usual for tracking and measuring functionality and coping with huge amounts of knowledge
Performance analysis: Discusses glossy methods to desktop functionality benchmarking and offers effects that provide necessary perception into those studies
Performance modeling: Explains how researchers deduce exact functionality versions from uncooked functionality facts or from different high-level features of a systematic computation
Automatic functionality tuning: Explores ongoing learn into automated and semi-automatic ideas for optimizing desktop courses to accomplish greater functionality on any computing device platform
Application tuning: offers examples that exhibit how the proper research of functionality and a few deft alterations have led to super excessive performance
Performance research has grown right into a full-fledged, refined box of empirical technology. Describing invaluable learn in smooth functionality technology and engineering, this e-book is helping real-world clients of parallel desktops to higher comprehend either the functionality vagaries coming up in medical purposes and the sensible potential for bettering performance.
Read concerning the e-book on HPCwire and insideHPC
Read Online or Download Performance Tuning of Scientific Applications (Chapman & Hall/CRC Computational Science) PDF
Similar number systems books
Classical and smooth Numerical research: conception, equipment and perform presents a legitimate starting place in numerical research for extra really expert issues, reminiscent of finite aspect idea, complicated numerical linear algebra, and optimization. It prepares graduate scholars for taking doctoral examinations in numerical research.
This publication combines idea, purposes, and numerical tools, and covers every one of those fields with an analogous weight. with a purpose to make the booklet available to mathematicians, physicists, and engineers alike, the writer has made it as self-contained as attainable, requiring just a sturdy beginning in differential and fundamental calculus.
Constructed within the context of technological know-how and engineering functions, with each one abstraction encouraged by means of and additional honed via particular software wishes, Charm++ is a production-quality method that runs on just about all parallel desktops to be had. Parallel technological know-how and Engineering purposes: The Charm++ method surveys a various and scalable number of technological know-how and engineering functions, so much of that are used frequently on supercomputers by means of scientists to additional their study.
Have you ever been bought at the fable that that the best highway to wealth is thru complex levels, hugely paid professions, and contributing on your 401(k)? have you obvious a 23-year-old create actual wealth and attain real freedom that method? i do know i have never. good, great point there is a whole bunch alternative routes to create wealth and construct an awesome way of life.
- Numerical Methods and Optimization: An Introduction (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
- Progress in Industrial Mathematics at ECMI 2006: 12 (Mathematics in Industry)
- Fixed Point Theory in Metric Type Spaces
- Computational Neuroscience: 38 (Springer Optimization and Its Applications)
- Introduction to the Simulation of Dynamics Using Simulink (Chapman & Hall/CRC Computational Science)
- Grid Resource Management: Toward Virtual and Services Compliant Grid Computing (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
Additional resources for Performance Tuning of Scientific Applications (Chapman & Hall/CRC Computational Science)
Performance Tuning of Scientific Applications (Chapman & Hall/CRC Computational Science) by David H. Bailey,Robert F. Lucas,Samuel Williams